Joshua C. Smith, Daniel Park, Jill Whitaker Bey, Michael McLemore, Elizabeth Hanchrow, Dax Westerman, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, David J. Cronkite, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Darren Toh, Kevin B. Johnson, David Aronoff, David Carrell. Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease. In AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022. AMIA, 2022. [doi]
@inproceedings{SmithPBMHWOWRKS22,
title = {Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease},
author = {Joshua C. Smith and Daniel Park and Jill Whitaker Bey and Michael McLemore and Elizabeth Hanchrow and Dax Westerman and Joshua Osmanski and Robert Winter and Arvind Ramaprasan and Ann Kelley and Mary Shea and David J. Cronkite and Saranrat Wittayanukorn and Danijela Stojanovic and Yueqin Zhao and Darren Toh and Kevin B. Johnson and David Aronoff and David Carrell},
year = {2022},
url = {https://knowledge.amia.org/76677-amia-1.4637602/f007-1.4641746/f007-1.4641747/929-1.4641838/261-1.4641835},
researchr = {https://researchr.org/publication/SmithPBMHWOWRKS22},
cites = {0},
citedby = {0},
booktitle = {AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022},
publisher = {AMIA},
}